From 47f2b41e9e71a9cc6e2a20bfaf5919efc3336452 Mon Sep 17 00:00:00 2001 From: filippi-claudia <44236509+filippi-claudia@users.noreply.github.com> Date: Sun, 31 Jan 2021 20:06:13 +0100 Subject: [PATCH] Update QMC.org --- QMC.org | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/QMC.org b/QMC.org index 123a9c0..32df533 100644 --- a/QMC.org +++ b/QMC.org @@ -2110,10 +2110,11 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis where $\psi(\mathbf{r},\tau) = \Psi(\mathbf{r},-i\,)$ and + \begin{eqnarray*} \psi(\mathbf{r},\tau) &=& \sum_k a_k \exp( -E_k\, \tau) \phi_k(\mathbf{r})\\ &=& \exp(-(E_0-E_T)\, \tau)\sum_k a_k \exp( -(E_k-E_0)\, \tau) \phi_k(\mathbf{r})\,. - \begin{eqnarray*} + \end{eqnarray*} For large positive values of $\tau$, $\psi$ is dominated by the $k=0$ term, namely, the lowest eigenstate. If we adjust $E_T$ to the running estimate of $E_0$, @@ -2133,7 +2134,7 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis We can simulate this differential equation as a diffusion-branching process. - To this this, recall that the [[https://en.wikipedia.org/wiki/Diffusion_equation][diffusion equation]] of particles is given by + To see this, recall that the [[https://en.wikipedia.org/wiki/Diffusion_equation][diffusion equation]] of particles is given by \[ \frac{\partial \phi(\mathbf{r},t)}{\partial t} = D\, \Delta \phi(\mathbf{r},t). @@ -2167,6 +2168,11 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis system by simulating the Schrödinger equation in imaginary time, by the combination of a diffusion process and a branching process. + We note here that the ground-state wave function of a Fermionic system is + antisymmetric and changes sign. + + I AM HERE + ** Importance sampling In a molecular system, the potential is far from being constant @@ -2189,18 +2195,18 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis -\frac{\partial \Pi(\mathbf{r},\tau)}{\partial \tau} = -\frac{1}{2} \Delta \Pi(\mathbf{r},\tau) + \nabla \left[ \Pi(\mathbf{r},\tau) \frac{\nabla \Psi_T(\mathbf{r})}{\Psi_T(\mathbf{r})} - \right] + E_L(\mathbf{r}) \Pi(\mathbf{r},\tau) + \right] + (E_L(\mathbf{r})-E_T)\Pi(\mathbf{r},\tau) \] - The new "kinetic energy" can be simulated by the drifted diffusion + The new "kinetic energy" can be simulated by the drift-diffusion scheme presented in the previous section (VMC). The new "potential" is the local energy, which has smaller fluctuations when $\Psi_T$ gets closer to the exact wave function. It can be simulated by changing the number of particles according to $\exp\left[ -\delta t\, - \left(E_L(\mathbf{r}) - E_\text{ref}\right)\right]$ - where $E_{\text{ref}}$ is a constant introduced so that the average - of this term is close to one, keeping the number of particles rather - constant. + \left(E_L(\mathbf{r}) - E_T\right)\right]$ + where $E_T$ is the constant we had introduced above, which is adjusted to + the running average energy and is introduced to keep the number of particles + reasonably constant. This equation generates the /N/-electron density $\Pi$, which is the product of the ground state with the trial wave function. It